Triple

T11176869
Position Surface form Disambiguated ID Type / Status
Subject Wellington Hurricanes E264433 entity
Predicate notableFormerPlayer P304 FINISHED
Object Conrad Smith E859123 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Conrad Smith | Statement: [Wellington Hurricanes, notableFormerPlayer, Conrad Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Smith
Context triple: [Wellington Hurricanes, notableFormerPlayer, Conrad Smith]
  • A. Conrad Smith chosen
    Conrad Smith is a former New Zealand rugby union centre renowned for his key role in the All Blacks’ dominant era, including multiple Rugby World Cup victories.
  • B. Conrad Sewell
    Conrad Sewell is an Australian singer-songwriter known for his soulful pop vocals and collaborations on international hits.
  • C. Julian C. Smith
    Julian C. Smith was a United States Marine Corps lieutenant general best known for leading the 2nd Marine Division in the Pacific Theater during World War II.
  • D. Conrad Vernon
    Conrad Vernon is an American film director, voice actor, and storyboard artist best known for his work on animated features such as Shrek 2, Monsters vs. Aliens, and Sausage Party.
  • E. Charles Noland
    Charles Noland is an American actor known for his character roles in film, television, and theater.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8987e1081909b28a0bdb866beae completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55630478c8190aeee4cc219209ccb completed April 19, 2026, 10:24 p.m.
Created at: April 8, 2026, 9:29 p.m.